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Journal Article

Demographic Forecasting in Koala Conservation

Angela M. Penn; William B. Sherwin; Greg Gordon; Daniel Lunney; Alistair Melzer; Robert C. Lacy
Conservation Biology · Vol. 14, Issue 3 · pp. 629-638 · 2000

Abstract

The koala currently needs conservation intervention. There is clear evidence of decline in many populations, but the existence of other stable or expanding populations offers the possibility of a variety of creative solutions to their conservation problems. The 1998 National Koala Conservation Strategy emphasizes the need to obtain demographic information and to use this information to assess management options for koalas. We need accurate diagnoses of the status of koala populations and forecasts of their demographic future with and without particular management actions. In a qualitative fashion, this process has been undertaken many times on a local and national scale. Quantitative demographic forecasting tools are increasingly available, and koala management could benefit from their application both at the scale of individual populations and more broadly. There is already a considerable body of suitable data on the dispersal, effects of normal and catastrophic environmental variation on reproduction and survival, and on the effects of habitat change. Demographic forecasting, however, is hampered because the full suite of information is rarely available from a single population. In two Queensland populations, retrospective population viability analyses provided forecasts that were in agreement with observed population trends. Work is needed to determine whether data from one population can be applied to other populations. Models can then be developed to make projections at a multipopulation level on the basis of local population dynamics and dispersal. Certain koala populations, because of their long history of study, offer the opportunity to test demographic models retrospectively. These tests will not only aid in fine‐tuning the models for koala biology and data but will also assist with the more general process of validating the models.

Bibliographic Information

JournalConservation Biology
PublisherWiley
Publication Date2000-06-01
Publication Year2000
Volume14
Issue3
Pages629-638
Document TypeJournal Article
Print ISSN0888-8892
eISSN1523-1739
DOI10.1046/j.1523-1739.2000.99385.x
SubjectConservation Science

Access Information

NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://conbio.onlinelibrary.wiley.com/loi/15231739
Publisher PageOpen Publisher Page
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